Aliarcobacter butzleri is an emerging foodborne and zoonotic pathogen, yet many of its encoded proteins remain functionally uncharacterized. This lack of annotation limits understanding of its molecular mechanisms and hampers the identification of novel therapeutic targets. In this study, we systematically performed functional annotation of essential hypothetical proteins from the BNI-3166 strain using an integrative-in-silico approach to uncover potential drug and vaccine candidates. 2,367 protein-coding sequences were retrieved from the RefSeq database and were identified 356 as hypothetical proteins. Using BLASTp, we screened these HPs against the Database of Essential Genes and the human proteome to identify essential non-homologous proteins, resulting in 20 ENH candidates. Functional annotation was performed using several domain-based databases, including Pfam, InterPro, SMART, and SUPERFAMILY. Subsequently, physicochemical properties were analyzed and predicted subcellular localization using PSORTb and CELLO. To assess druggability, the ChEMBL database was used. Virulence factors using VFDB, VICMpred, and VirulentPred 2.0 were also predicted. Gene Ontology annotations were generated via ARGOT2.5. Furthermore, we explored protein-protein interactions using STRING and predicted tertiary structures with AlphaFold3. Moreover, Ligand binding pockets were predicted using PrankWeb, and antigenicity of vaccine candidates was assessed using VaxiJen v2.0. We identified 20 essential non-homologous hypothetical proteins, of which 10 were confidently annotated based on conserved domain analysis. These proteins were classified as enzymes, binding proteins, transporters, regulatory proteins, and potential virulence factors. Among them, eight exhibited characteristics of promising drug targets, while two showed potential as vaccine candidates based on subcellular localization. Druggability analysis revealed that nine proteins had no similarity to known drug targets, suggesting novel therapeutic potential. Predicted 3D structures generated using AlphaFold3 yielded pTM scores ranging from 0.44 to 0.92, indicating acceptable to high modeling confidence. Ligand binding site analysis confirmed druggability in six candidates, and antigenicity screening identified one protein as a potential vaccine target. This study provides a computational framework for identifying functionally important proteins in A. butzleri BNI-3166 and highlights novel therapeutic candidates for experimental validation, offering new directions in drug and vaccine development against this underexplored pathogen.
Key words: Aliarcobacter butzleri, Drug Target Identification, Functional Annotation, Hypothetical Proteins, In Silico Analysis
Received: 08.07.2025; Accepted: 01.09.2025; Early view: 24.09.2025 Published: 10.01.2026
DOI: 10.62063/ecb-66
Citation: Paul, S., Barua, S., & Barua, J.D. (2026). In-silico functional annotation and structural characterization of hypothetical proteins from Aliarcobacter butzleri BNI-3166: Insights into novel virulence and drug targets. The European chemistry and biotechnology journal, 5, 22-39. https://doi.org/10.62063/ecb-66
The copyrights of the studies published in The European Chemistry and Biotechnology Journal (EUCHEMBIOJ) belong to their authors
This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)(https://creativecommons.org/licenses/by-nc/4.0/).
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H1n_V210.BIN. It does not typically contain "121" in the filename.Updating the Zoom H1N is straightforward, but it requires precision. A power failure during the update can brick your device. Follow these steps exactly.
I tested it immediately. Outside, the world was alive: a neighbor practicing scales on a battered violin, the clack of a city bus, the soft, near-imperceptible rumble of thunder. I set levels, felt the focus of the device like a fine-lensed camera, and hit record. The capture was faithful, bearing the honesty of the room and the hum of the street. Playback revealed a slight improvement—the bottom end was tighter, conversations clearer, the annoying zipper of a passing cyclist reduced to a respectful whisper. zoom h1n firmware 121
If you own a —the popular, ultra-portable handheld recorder beloved by journalists, musicians, and content creators—you might have come across the term “Zoom H1n firmware 1.21” in online forums or Zoom’s official support pages. While the H1n is known for its rock-solid stability straight out of the box, firmware updates (even minor ones) can significantly improve performance, fix bugs, and sometimes add subtle but important features. Report: Zoom H1n Firmware Version 2
As of April 2026, the current firmware version for the is . Firmware Update v1.21 Details Visual Misinterpretation: On the small LCD screen of
While there are no official professional "reviews" dedicated solely to Zoom H1n firmware v1.21
The install process felt ceremonial. Progress bar crawling like a tiny procession across the screen. A cautionary message: "Do not power off." I resisted the urge to fiddle. The apartment hummed, a distant siren, a kettle beginning to sing. When the update finished, the H1n began to warm with contentment. New menu icons appeared like small trophies.